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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 21472
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    Explanations

    information related to destructive events or disasters

    oai_token-act-pair · gpt-3.5-turbo

    events and their consequences, particularly related to disasters or accidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     respectively
    -0.81
    ouble
    -0.77
    xtap
    -0.77
    ipolar
    -0.76
    zona
    -0.75
    razil
    -0.75
     Differences
    -0.74
    aber
    -0.73
    ivot
    -0.73
    ilateral
    -0.73
    POSITIVE LOGITS
     thieves
    1.25
     occupants
    1.24
     its
    1.16
     tenants
    1.14
     robbers
    1.11
     firefighters
    1.08
     employees
    1.05
     arson
    1.04
     passengers
    1.04
     flames
    1.02
    Activations Density 0.528%

    No Known Activations